Esplora il futuro del Digital Healthcare: intelligenza artificiale, big data e tecnologie innovative per la salute e il benessere.
Automatic algorithms for stent struts segmentation in optical coherence tomography (OCT) images of coronary arteries have been developed over the years, particularly with application on metallic stents.
Questo lavoro consiste nello sviluppo di un modello prognostico nel carcinoma a cellule squamose della cavità orale basato su caratteristiche genomiche e caratteristiche radiomiche della risonanza magnetica.
We present an application of a validated reconstruction methodology for the comparison between patient-specific hemodynamics and neo-intimal thickening at nine months from the intervention.
The objectives of the study are to develop a new way to assess stability and discrimination capacity of radiomic features without the need of test-retest or multiple delineations and to use information obtained to perform a preliminary feature selection.
The clinical challenge of percutaneous coronary interventions (PCI) is highly dependent on the recognition of the coronary anatomy of each individual. The classic imaging modality used for PCI is angiography, but advanced imaging techniques that are routinely performed during PCI, like optical coherence tomography (OCT), may provide detailed knowledge of the pre-intervention vessel anatomy as well as the post-procedural assessment of the specific stent-to-vessel interactions.
Lo scopo di questo studio è stato quello di valutare la stabilità e la rilevanza delle caratteristiche radiomiche per l'analisi delle immagini mediche dei sarcomi dei tessuti molli.
Questo lavoro presenta un nuovo metodo per l'estrazione della linea centrale delle ramificazioni vascolari, utilizzando la fluidodinamica computazionale (CFD).
Optical coherence tomography (OCT) is an established catheter-based imaging modality for the assessment of coronary artery disease and the guidance of stent placement during percutaneous coronary intervention. Manual analysis of large OCT datasets for vessel contours or stent struts detection is time-consuming and unsuitable for real-time applications.
Questo lavoro descrive un approccio che combina diverse tecniche di elaborazione delle immagini con l'obiettivo di estrarre le linee principali delle impronte digitali.
The main surgeries that can be performed in upper and middle rectal cancer are low anterior rectal resection (LAR), lateral colostomy (LC), and extended Hartmann operation with mesorectal excision (EHO). Compared with lateral colostomy, EHO is a curative surgery; it also requires a shorter operative time and has a lower mortality rate than LAR.